Image Transmission System with Adaptive Bit Precision Control
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Solution Overview
Problem
Existing image transmission systems face challenges in efficiently encoding high-gradation images while maintaining gradation, especially when the application in the subsequent stage varies, as they do not account for different image characteristics or applications beyond CT images.
Innovation Solution
An image transmission system that includes a bit precision information generation unit and a quantization control unit to adjust quantization step width based on processing modes, allowing for flexible bit precision allocation across image regions, thereby optimizing encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-precision encoding is performed on all pixels to maintain gradation, then image quality is improved, but encoding amount increases
Solution Approach 1:
The patent applies local quality by differentiating encoding precision across different image regions. Important regions (e.g., areas with edges, textures, or semantic significance) are encoded with high precision to maintain gradation, while less important regions use lower precision encoding. This resolves the contradiction by maintaining image quality where needed while reducing overall encoding amount through selective precision application.
Solution Approach 2:
The patent segments the image into multiple regions with different encoding requirements. By dividing the image and applying different quantization parameters to different segments, the system achieves both high gradation preservation in critical areas and reduced encoding amounts in non-critical areas, thereby resolving the contradiction between image quality and encoding efficiency.
2Adaptability or versatility
If a fixed encoding method is used for all images, then encoding simplicity is maintained, but adaptability to different applications is reduced
Solution Approach 1:
The patent implements dynamic encoding by allowing the encoding parameters (particularly quantization step widths) to change based on the specific application and image content. The system can adaptively adjust encoding precision according to different processing modes (e.g., monitoring, recognition, transmission) without requiring completely different encoding systems, thus achieving application adaptability while controlling complexity through a unified adaptive framework.
Solution Approach 2:
The patent utilizes parameter changes by modifying encoding parameters (such as quantization step widths and bit allocation) based on application requirements and image characteristics. This allows the same encoding system to adapt to different applications by changing parameters rather than structure, achieving versatility while maintaining relative simplicity through parameter-based flexibility.
Data Source
AI summary
The image transmission system, which transmits image data from a transmission side and performs image processing at a reception side, is provided with: an image transmission device that encodes an input image and outputs and a bitstream; an image reception device that receives and decodes the bitstream and performs image processing; a bit precision information generation unit that generates bit precision information for each region in the image; a quantization control unit that controls the quantization step width in a quantization process performed in the image transmission device in accordance with the bit precision information generated by the bit precision information generation unit; and an image processing unit that performs image processing using the decoded image that has been decoded by the image reception device. The bit precision information generation unit switches the method for generating bit precision information in accordance with the processing mode of the image processing unit.


